Testing for Uniform Continutity with Weierstrass MTest

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Homework Help Overview

The discussion revolves around the application of the Weierstrass M-test to determine uniform convergence of the sequence of functions defined by $$f_n(x) = \frac{x}{1+nx^2}$$ over the interval $$[-1, 1]$$. Participants are exploring the convergence behavior of this sequence as $$n$$ approaches infinity.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the limits of the function at the endpoints of the interval and the application of L'Hôpital's rule. There are questions about the validity of inequalities used to establish bounds for the Weierstrass M-test. Clarifications are sought regarding the distinction between uniform convergence of a sequence versus a series of functions.

Discussion Status

The discussion is ongoing, with participants providing insights and corrections regarding the application of the M-test and the definition of uniform convergence. Some participants are attempting to clarify misunderstandings about the nature of convergence being examined, while others are exploring the implications of their findings.

Contextual Notes

There is confusion regarding the application of the Weierstrass M-test, as some participants believe it applies to the sequence of functions rather than a series. Additionally, there are concerns about the assumptions made regarding the bounds and the behavior of the function as $$n$$ increases.

  • #31
Also, suppose the following were true:
Emspak said:
At n=1 the original expression would be between 1/2 and 1, at n=2 it is between 1/3 and 1, and so on. THe upper bound is 1. [...] No matter what n is \frac{x}{1+nx^2} can't be more than 1.
This would NOT imply the following:
That means f_n \rightarrow 0 as n \rightarrow \infty. So that would imply uniform convergence.
In other words, ##|f_n(x)| \leq 1## for all ##n## and all ##x## does NOT imply uniform convergence, or even pointwise convergence, of ##f_n##. You need ##|f_n(x)| \leq B_n## for all ##n## and all ##x##, where ##B_n## is a sequence of positive numbers that converges to zero.
 
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  • #32
OK now I get confused. You just said the maximum value for fn has to approach zero as n approaches infinity. Doesn't it? Make n big an the denominator gets way bigger than the numerator for any arbitrary n! I make n 100000000 and the original expression gets really tiny! That's approaching zero, isn't it? I am really really confused here.
 
  • #33
You are still making the argument for pointwise convergence. As a counterexample consider if fn=x/n was defined on all of R. For any x the sequence converges to zero because the denominator gets way bigger, but the sequence does not converge uniformly.
 
  • #34
Is the point here that even though fn approaches zero, and is less than some number no matter what you do with n (in this case the expression is always less than 1) that still does not imply uniform convergence?
 
  • #35
Dude, i am completely and utterly lost with this now.
 
  • #36
Emspak said:
Is the point here that even though fn approaches zero, and is less than some number no matter what you do with n (in this case the expression is always less than 1) that still does not imply uniform convergence?
Yes, that's right.

Here is an example: let ##f_n(x)## be the function whose graph looks like an isosceles triangle of height ##1## with one vertex at ##x = 1-1/n## and the other vertex at ##x=1##, and outside of ##[1-1/n, 1]##, the function is zero. This sequence satisfies ##|f_n(x)| \leq 1## for every ##n## and every ##x##. The sequence converges to ##0## for every ##x##, but not uniformly, because for every ##n## there is some ##x## (namely the midpoint of ##[1-1/n, 1]##) with ##f_n(x) = 1##.
 
  • #37
OK but this seems a direct contradiction to the very definition of uniform convergence above! Or is it because the maximum of fn is 1? this is why i am so confused here.
 
  • #38
In other words, ##f_n(x)## looks like the attached picture.
 

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  • #39
sorry i was referring ot the original problem, not your diagram.
 
  • #40
Emspak said:
OK but this seems a direct contradiction to the very definition of uniform convergence above! Or is it because the maximum of fn is 1? this is why i am so confused here.
You need more than just ##\max(|f_n|) = 1##. You need ##\max(|f_n|) = B_n## where ##B_n## is some sequence of numbers that converges to zero as ##n## increases.

For example, ##\max(|f_n|) = 1/n## would imply uniform convergence.
 
  • #41
Please check your calculation of the maximum again. Where is this function equal to zero?
$$\frac{1-nx^2}{(1+nx^2)^2}$$
Your answer should depend on ##n##.

Hint: the fraction is zero whenever the numerator is zero.
 
  • #42
OK, now we get to choosing Bn to test for uniform convergence, yes? Would that not be, say, 1/(1+n) ? That goes to zero, doesn't it? So does -1 / (1 + n).
 
  • #43
It equals zero at x=1 or x=-1 when n=1. At n=4 it would have to be at x=1/2, and so on. (x would actually vary as 1/sqrt(n) to make it zero depending on what n is).
 
  • #44
Emspak said:
OK, now we get to choosing Bn to test for uniform convergence, yes? Would that not be, say, 1/(1+n) ? That goes to zero, doesn't it?
Sure, but you would have to show that your ##|f_n|## is smaller than ##1/(n+1)##. It might not be, but you might be able to find some other sequence. This is why you need to calculate the maximum of ##f_n##.
 
  • #45
Emspak said:
It equals zero at x=1 or x=-1 when n=1. At n=4 it would have to be at x=1/2, and so on. (x would actually vary as 1/sqrt(n) to make it zero depending on what n is).
Can you find a formula for the ##x## which gives the maximum? In other words, don't plug in ##n## values, just solve for ##x## in terms of ##n##.
 
  • #46
when i solve for x, assuming we set the derivative expression at zero, I get:
$$\frac{1}{\sqrt{n}}= x$$. Now what?
 
  • #47
Emspak said:
when i solve for x, assuming we set the derivative expression at zero, I get:
$$\frac{1}{\sqrt{n}}= x$$. Now what?
OK, so that tells you where the maximum occurs. (Technically, you should verify that it's a maximum and not a minimum, but let's leave that aside for now.)

So now what is the value of the maximum? Plug ##x = \frac{1}{\sqrt{n}}## into ##f_n(x)## and see what you get.
 
  • #48
putting \sqrt{n} into the original equation, I would get $$\frac{\frac{1}{\sqrt{n}}}{1+n^2} = \frac{1}{\sqrt{n}+n^{5/2}}$$ which goes to zero the bigger n gets.
 
  • #49
Emspak said:
putting \sqrt{n} into the original equation, I would get $$\frac{\frac{1}{\sqrt{n}}}{1+n^2} = \frac{1}{\sqrt{n}+n^{5/2}}$$ which goes to zero the bigger n gets.
That's not what I get. (The ##n^{5/2}## term is wrong.)
 
  • #50
wait a minute. n^(1/2 ) * n^2 = n^ (1/2 + 2), no? That's 5/2.
 
  • #51
Evaluate
$$f_n(x) = \frac{x}{1+nx^2}$$
at ##x = \frac{1}{\sqrt{n}}##:
$$f_n\left(\frac{1}{\sqrt{n}}\right) = \frac{1/\sqrt{n}}{1 + n(1/\sqrt{n})^2} = ?$$
 
  • #52
Oh, SNAP! THat was stupid of me. So, you get $$\frac{1}{2\sqrt{n}}$$
 
  • #53
Right. So now you have shown the following:
$$|f_n(x)| \leq \max_x |f_n(x)| = \frac{1}{2\sqrt{n}}$$
And ##\frac{1}{2\sqrt{n}} \rightarrow 0## as ##n \rightarrow \infty##. What can you conclude?
 
  • #54
Well, that would point to uniform convergence then wouldn't it? We have a sequence of numbers that approaches zero as n--> infinity. It's also < infinity. And on top of that the absolute value of the function is less than that maximum for all n.
 
  • #55
Emspak said:
Well, that would point to uniform convergence then wouldn't it? We have a sequence of numbers that approaches zero as n--> infinity. It's also < infinity. And on top of that the absolute value of the function is less than that maximum for all n.
Yes, that's right. The conclusion is that ##f_n## converges uniformly to ##0##.
 
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  • #56
Thanks for bearing with me. This has cleared a bunch of things up, and it can get a bit frustrating.
 
  • #57
No problem, this stuff is always confusing at first. Just keep doing exercises like this and it will become a lot clearer.
 

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